Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Caroline Beunckens"'
Publikováno v:
Computational Statistics & Data Analysis. 55:301-311
The analysis of incomplete longitudinal data requires joint modeling of the longitudinal outcomes (observed and unobserved) and the response indicators. When non-response does not depend on the unobserved outcomes, within a likelihood framework, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2aea542a6165a68e1fedd2cb4475f8ee
https://doi.org/10.1016/j.csda.2010.04.026
https://doi.org/10.1016/j.csda.2010.04.026
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 58:171-196
Many models to analyse incomplete data have been developed that allow the missing data to be missing not at random. Awareness has grown that such models are based on unverifiable assumptions, in the sense that they rest on the (incomplete) data only
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::591a16b126ce70c2e3f2beb34241d835
https://doi.org/10.1111/j.1467-9876.2009.00647.x
https://doi.org/10.1111/j.1467-9876.2009.00647.x
Autor:
Caroline Beunckens, Vera Nelen, Greet Schoeters, Carl Vael, Gudrun Koppen, Stijn Verhulst, Kristine Desager, Elly Den Hond
Publikováno v:
Environmental Health Perspectives
Environmental health perspectives
Environmental health perspectives
Objective: We investigated the association between body mass index (BMI) standard deviation score (SDS) and prenatal exposure to hexachlorobenzene, dichlorodiphenyldichloroethylene (DDE) , dioxin-like compounds, and polychlorinated biphenyls (PCBs) .
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25deff609288687aaa08f800386e1134
https://doi.org/10.1289/ehp.0800003
https://doi.org/10.1289/ehp.0800003
Publikováno v:
Journal of Biopharmaceutical Statistics. 16:365-384
In the analyses of incomplete longitudinal clinical trial data, there has been a shift, away from simple ad hoc methods that are valid only if the data are missing completely at random (MCAR), to more principled (likelihood-based or Bayesian) ignorab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db676403e57bac78980c24c288fdee2d
https://doi.org/10.1080/10543400600609510
https://doi.org/10.1080/10543400600609510
Publikováno v:
Clinical Trials. 2:379-386
Background In many clinical trials, data are collected longitudinally over time. In such studies, missingness, in particular dropout, is an often encountered phenomenon. Methods We discuss commonly used but often problematic methods such as complete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02cbd895eb6ae638eb03fbf176a10053
https://doi.org/10.1191/1740774505cn119oa
https://doi.org/10.1191/1740774505cn119oa
Autor:
Veronique Verhoeven, Karolien Van Puyenbroeck, Paul Van Royen, Caroline Beunckens, Barbara Michiels, Samuel Coenen, Geert Molenberghs, Niel Hens
Publikováno v:
The American journal of clinical nutrition
Background: Age is associated with immune dysregulation, which results in an increased infection rate and reduced effectiveness of vaccination. Objective: We assessed whether an intervention with Lactobacillus easel Shirota (LcS) in elderly nursing h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5acba35562d6619de2156aee037fd6ec
http://hdl.handle.net/1942/13714
http://hdl.handle.net/1942/13714
Autor:
Tony Vangeneugden, Caroline Beunckens, Helena Geys, Geert Molenberghs, Cristina Sotto, Annouschka Laenen
This work aims at investigating marginal correlation within and between longitudinal data sequences. Useful and intuitive approximate expressions are derived based on generalized linear mixed models. Data from four double-blind randomized clinical tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::806e2515886a475703999140745cc62a
http://hdl.handle.net/1942/11213
http://hdl.handle.net/1942/11213
Publikováno v:
Missing Data in Clinical Studies
In the analyses of incomplete longitudinal clinical trial data, there has been a shift, away from simple methods that are valid only if the data are missing completely at random, to more principled ignorable analyses, which are valid under the less r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::450ff486f1671ca195652412b9209e4d
http://hdl.handle.net/1942/9518
http://hdl.handle.net/1942/9518
Publikováno v:
Journal of asthma
Objective. To examine the association between the intestinal flora at the age of three weeks and wheezing during the first year of life in a prospective birth cohort study. Methods. The Asthma and Allergy study is a prospective birth cohort study. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d72cc9890525a285d95da97a42bba26
https://hdl.handle.net/10067/712510151162165141
https://hdl.handle.net/10067/712510151162165141
Missingness frequently complicates the analysis of longitudinal data. A popular solution for dealing with incomplete longitudinal data is the use of likelihood-based methods, when, for example, linear, generalized linear, or non-linear mixed models a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a931030e8a8f231082edd44b021b262
http://hdl.handle.net/1942/9691
http://hdl.handle.net/1942/9691